DATA ENGINEER

About the Company

ISC, a growth-stage technology company, is disrupting the archaic Insurance industry by offering innovative, AI/ML-powered solutions such as Gig Economy liability coverage. We’re a cohesive, agile team of 25 employees, offering team members an unparalleled opportunity to both make impact and learn/grow in a startup-like environment. At the same time, we’re backed by the financial and operational resources of KKR, a leading technology investing firm with $349B in assets – removing the funding risk that often distracts startups from their ability to focus on creating great products.

ISC uses advanced artificial intelligence (AI) technology and data analytics to deliver customized insurance programs while focusing on a superior user experience. We offer an end-to-end insurance platform by connecting a broad network of insurance markets and distribution channels with proprietary data analytics capabilities, making it easy for insurance agents to help their clients apply for and get a policy in a matter of minutes.

About the Role

The Data Engineer reports to the VP of IT and will be the liaison between multiple groups including an offsite data science team, the local engineering group, product management, and business stakeholders. This position will be responsible for building data pipelines to facilitate the data science team. The ideal candidate does not need any prior insurance knowledge, however, must quickly dive deep into the insurance world and ask questions to become a subject matter expert. Our engineering team members are experts at building insurance products, and we need a liaison that can communicate effectively. This candidate must be a self-starter that can build out features such as a data pipeline from scratch. There will be support from both engineering and data science for any buildout. 

Position Responsibilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Work with stakeholders including the Executive, Product, Data and Engineering teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep our data resilient and secure by utilizing multiple AWS regions and AWS security best practices
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Work with data and analytics experts to strive for greater functionality in our data systems

Qualifications

  • BA/BS Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • Minimum 5 years of experience in a Data Engineer role
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (MySQL, MSSQL, etc)
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Strong project management and organizational skills
  • Experience supporting and working with cross-functional teams in a dynamic environment

Must have experience using the following software/tools:

  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Current Technology Stack

  • PHP (Zend Framework)
  • Node.js
  • MySQL
  • jQuery
  • Apache
  • Amazon Linux
  • Git

Required Competencies

  • Adaptability – Adapts to changes in the work environment, manages competing demands and can deal with frequent change, delays, or unexpected events.
  • Problem solving – Identifies and resolves problems in a timely manner, gathers and analyzes information skillfully.
  • Assertiveness – Moves quickly and takes forceful action without being overly abrasive.
  • Attention to detail – Does not let important details slip through the cracks or derail a project.
  • Proactivity – Acts without being told what to do. Brings new ideas to the company.
  • Analytical skills – Able to structure and process qualitative and quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights. Demonstrates a curious mindset.
  • Follow-through – Lives up to verbal and written agreements, regardless of personal cost.
  • Planning/organizing – Prioritizes and plans work and uses time efficiently. Focuses on key priorities.
  • Building effective teams – Creates strong morale and spirit in their team. Defines success in terms of the whole team.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice.

EEO Statement

Integrated Specialty Coverages believes in creating long-term relationships by being responsive and relevant and by consistently delivering value to our community of customers. Specifically, with our employees, we focus on attracting, developing, and retaining the best talent for our business, challenging our people, demonstrating a “can-do” attitude, and fostering a collaborative and mutually supportive environment.

Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, gender, gender identity, sexual orientation, marital status, medical condition, genetic information, mental or physical disability, military or veteran status, or any other characteristic protected by local, state, or Federal law.

Address:
1811 Aston Ave Suite 200
Carlsbad, CA 92008

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